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Collaborative filtering, as one of the most popular techniques, plays an important role in recommendation systems. However, when the user-item rating matrix is sparse, its performance will be degenerate. Recently, domain-specific recommendation approaches have been developed to address this problem. The basic idea is to partition the users and items into overlapping domains, and then perform recommendation...
Most proteins form macromolecular complexes to perform their biological functions. With the increasing availability of large amounts of high-throughput protein-protein interaction (PPI) data, a vast number of computational approaches for detecting protein complexes have been proposed to discover protein complexes from PPI networks. However, such approaches are not good enough since the high rate of...
The paper reports a study on information categorizing based on high efficient feature selection and comprehensive semi-supervised learning algorithm. Feature selections or conversions are performed using maximum mutual information including linear and non-linear feature conversions. Entropy is made use of and extended to find right features commendably with machine learning method. Fuzzy partition...
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